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Hardware solutions for evolutionary robotics

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Evolutionary Robotics (EvoRobots 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1468))

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Abstract

Evolutionary robotics- as other adaptive methods, such as reinforcement learning and learning classifier systems-can take considerable time and resources which require a careful evaluation of the hardware tools and methodologies employed. We outline a set of hardware solutions and working methodologies that can be used for successfully implementing and extending the evolutionary approach to complex environments, robots, and real-world applications. The issues discussed include the integration of simulation and real robots, design issues of evolvable robots, hardware requirements for incremental evolution, and hardware and software tools for monitoring and analysis.

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Author information

Authors and Affiliations

  1. Laboratory of Microcomputing, Swiss Federal Institute of Technology, CH-1015, Lausanne

    Dario Floreano & Francesco Mondada

  2. K-Team SA, CH-1028, Préverenges, Switzerland

    Francesco Mondada

Authors
  1. Dario Floreano
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  2. Francesco Mondada
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Editor information

Philip Husbands Jean-Arcady Meyer

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© 1998 Springer-Verlag Berlin Heidelberg

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Floreano, D., Mondada, F. (1998). Hardware solutions for evolutionary robotics. In: Husbands, P., Meyer, JA. (eds) Evolutionary Robotics. EvoRobots 1998. Lecture Notes in Computer Science, vol 1468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64957-3_69

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  • DOI: https://doi.org/10.1007/3-540-64957-3_69

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64957-1

  • Online ISBN: 978-3-540-49902-2

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